Source: arden Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille Section: science Priority: optional Build-Depends: debhelper-compat (= 12), dh-python, python3-all Standards-Version: 4.4.0 Vcs-Browser: https://salsa.debian.org/med-team/arden Vcs-Git: https://salsa.debian.org/med-team/arden.git Homepage: http://sourceforge.net/projects/arden/ Package: arden Architecture: all Depends: ${misc:Depends}, ${python3:Depends}, python3-scipy, python3-numpy, python3-htseq, python3-matplotlib Description: specificity control for read alignments using an artificial reference ARDEN (Artificial Reference Driven Estimation of false positives in NGS data) is a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation.